Author

Abebe Geletu

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#federated learning Review Open access Sep 2026

Distributed Optimization Under Uncertainty: A Cross-Paradigm Review and Future Directions

Key findings include the widespread adaptation of classical algorithms, particularly the alternating direction method of multipliers (ADMM), across all uncertainty paradigms, alongside an evolution toward data-driven and adaptive methods for real-time uncertainty handling.

Ineza Remy Mugenga, Abebe Geletu, S. Mirau et al. · Mathematics · 0 citations

Review Aug 2026

ReliableNet: A Chance-Constrained Approach to Trustworthy Classification in Deep Learning

ReliableNet is the only method certified within the JCW budget for every dataset and seed in distribution, when compared against baselines spanning ERM, post-hoc calibration, conformal risk control, and selective prediction, and selective prediction.

Ange-Clément Akazan, Ineza Remy Mugenga, Abebe Geletu et al. · 0 citations